Literature DB >> 12586725

Multitrait fine mapping of quantitative trait loci using combined linkage disequilibria and linkage analysis.

M S Lund1, P Sørensen, B Guldbrandtsen, D A Sorensen.   

Abstract

A novel multitrait fine-mapping method is presented. The method is implemented by a model that treats QTL effects as random variables. The covariance matrix of allelic effects is proportional to the IBD matrix, where each element is the probability that a pair of alleles is identical by descent, given marker information and QTL position. These probabilities are calculated on the basis of similarities of marker haplotypes of individuals of the first generation of genotyped individuals, using "gene dropping" (linkage disequilibrium) and transmission of markers from genotyped parents to genotyped offspring (linkage). A small simulation study based on a granddaughter design was carried out to illustrate that the method provides accurate estimates of QTL position. Results from the simulation also indicate that it is possible to distinguish between a model postulating one pleiotropic QTL affecting two traits vs. one postulating two closely linked loci, each affecting one of the traits.

Mesh:

Year:  2003        PMID: 12586725      PMCID: PMC1462397     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  11 in total

1.  Fine mapping of quantitative trait loci using linkage disequilibria with closely linked marker loci.

Authors:  T H Meuwissen; M E Goddard
Journal:  Genetics       Date:  2000-05       Impact factor: 4.562

2.  A multivariate approach to the problem of QTL localization.

Authors:  T Caliński; Z Kaczmarek; P Krajewski; C Frova; M Sari-Gorla
Journal:  Heredity (Edinb)       Date:  2000-03       Impact factor: 3.821

3.  Mapping quantitative trait loci in complex pedigrees: a two-step variance component approach.

Authors:  A W George; P M Visscher; C S Haley
Journal:  Genetics       Date:  2000-12       Impact factor: 4.562

4.  Bayesian mapping of quantitative trait loci under the identity-by-descent-based variance component model.

Authors:  N Yi; S Xu
Journal:  Genetics       Date:  2000-09       Impact factor: 4.562

5.  Multitrait least squares for quantitative trait loci detection.

Authors:  S A Knott; C S Haley
Journal:  Genetics       Date:  2000-10       Impact factor: 4.562

6.  Derivation, calculation, and use of national animal model information.

Authors:  P M VanRaden; G R Wiggans
Journal:  J Dairy Sci       Date:  1991-08       Impact factor: 4.034

7.  Multiple trait analysis of genetic mapping for quantitative trait loci.

Authors:  C Jiang; Z B Zeng
Journal:  Genetics       Date:  1995-07       Impact factor: 4.562

8.  Bivariate quantitative trait linkage analysis: pleiotropy versus co-incident linkages.

Authors:  L Almasy; T D Dyer; J Blangero
Journal:  Genet Epidemiol       Date:  1997       Impact factor: 2.135

9.  Bayesian mapping of multiple quantitative trait loci from incomplete inbred line cross data.

Authors:  M J Sillanpää; E Arjas
Journal:  Genetics       Date:  1998-03       Impact factor: 4.562

10.  Power of daughter and granddaughter designs for determining linkage between marker loci and quantitative trait loci in dairy cattle.

Authors:  J I Weller; Y Kashi; M Soller
Journal:  J Dairy Sci       Date:  1990-09       Impact factor: 4.034

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  22 in total

1.  Bayesian association-based fine mapping in small chromosomal segments.

Authors:  Mikko J Sillanpää; Madhuchhanda Bhattacharjee
Journal:  Genetics       Date:  2004-09-15       Impact factor: 4.562

2.  Multivariate whole genome average interval mapping: QTL analysis for multiple traits and/or environments.

Authors:  Arūnas P Verbyla; Brian R Cullis
Journal:  Theor Appl Genet       Date:  2012-06-13       Impact factor: 5.699

Review 3.  Overview of techniques to account for confounding due to population stratification and cryptic relatedness in genomic data association analyses.

Authors:  M J Sillanpää
Journal:  Heredity (Edinb)       Date:  2010-07-14       Impact factor: 3.821

4.  Quantitative trait loci (QTL) detection in multicross inbred designs: recovering QTL identical-by-descent status information from marker data.

Authors:  Sébastien Crepieux; Claude Lebreton; Bertrand Servin; Gilles Charmet
Journal:  Genetics       Date:  2004-11       Impact factor: 4.562

Review 5.  Linkage disequilibrium and association studies in higher plants: present status and future prospects.

Authors:  Pushpendra K Gupta; Sachin Rustgi; Pawan L Kulwal
Journal:  Plant Mol Biol       Date:  2005-03       Impact factor: 4.076

6.  Simultaneous fine mapping of multiple closely linked quantitative trait Loci using combined linkage disequilibrium and linkage with a general pedigree.

Authors:  S H Lee; J H J Van der Werf
Journal:  Genetics       Date:  2006-06-04       Impact factor: 4.562

7.  Bayesian mapping of quantitative trait loci for multiple complex traits with the use of variance components.

Authors:  Jianfeng Liu; Yongjun Liu; Xiaogang Liu; Hong-Wen Deng
Journal:  Am J Hum Genet       Date:  2007-07-03       Impact factor: 11.025

8.  Bayesian quantitative trait loci mapping for multiple traits.

Authors:  Samprit Banerjee; Brian S Yandell; Nengjun Yi
Journal:  Genetics       Date:  2008-08-09       Impact factor: 4.562

9.  Combined linkage disequilibrium and linkage mapping: Bayesian multilocus approach.

Authors:  P Pikkuhookana; M J Sillanpää
Journal:  Heredity (Edinb)       Date:  2013-11-20       Impact factor: 3.821

10.  Detection of multiple quantitative trait loci and their pleiotropic effects in outbred pig populations.

Authors:  Yoshitaka Nagamine; Ricardo Pong-Wong; Peter M Visscher; Chris S Haley
Journal:  Genet Sel Evol       Date:  2009-10-06       Impact factor: 4.297

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